Python, Hadoop, Spark and Kafka

Discovery sessions with Business and IT to identify use cases and business needs, emerging data sources like social media, unstructured data, web logs, streaming data; Architecture assessment, tool and technology rationalization, and deployment planning and roadmap.

‘Proof is in the Pudding’ - Cloud or on-premise based sandbox environments to prove out the Hadoop and Big Data business use cases and technical solution. KPI’s Big Data and Hadoop lab environments can also be leveraged to avoid upfront costs and additional hardware.

Following a proven Pilot/PoV, the implementation and deployment services include the following activities based on a proven playbook that is best suited to meet your unique needs:

1. Architecture and Infrastructure design
2. Installation and Configuration of the Hadoop ecosystem
3. Designing and implementing Map Reduce programs (Hive, Pig, Impala, Drill)
4. Algorithm design and implementation for Machine Learning projects.
5. Data Integration and Migration services
6. Advanced and Predictive Analytics
7. Performance tuning and Optimization
8. Data Governance, MDM, Security, Compliance and Audit. 

KPI’s certified Hadoop trainers can build training plans and custom courses based on your requirements and implementation specifications. These courses can be delivered onsite or virtual.KPI can provide Hadoop experts and Data Scientists, who will do it once but do it right. Our team of onsite and offshore certified Hadoop developers and administrators can administer, manage and troubleshoot your Hadoop cluster on a day to day basis.